Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

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4990
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801
MB
663
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825
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8841
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9197
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95
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568
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1088
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Projects by Category

Continuation of the study for the recovery of gold from mine tailings using a novel clean technology

AJ Min Inc. is developing a novel technology, not currently patented, to recover gold from tailings material. The technology requires little energy, little to no reagents, and little to no additional water. Past testwork has indicated that this technology can recover significant amounts of gold from some tailings material, and that the recovered gold can be upgraded. This project will build on past testwork to evaluate if the recovered gold can be upgraded sufficiently to be commercially viable. In addition, empirical models will be developed from the testwork to describe the performance and capabilities of the technology.

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Faculty Supervisor:

Bern Klein

Student:

Partner:

AJ Min Inc

Discipline:

Engineering

Sector:

Mining

University:

The University of British Columbia

Program:

Accelerate

AI-enabled molecular search database

The project aims to facilitate the research and development of new drugs by applying machine learning and deep learning to further develop an AI-assisted molecular search database. The company has an internal dataset holding more than a billion molecules. Two main challenges are keeping the molecule catalog updated and Searching for the desired molecule or a substructure in this voluminous database. Advanced query response techniques powered by AI, can enable the database to respond to molecule similarity and substructure search queries in the desired time frame. Reducing molecule search queries’ response time can significantly speed up the drug discovery activity of researchers and pharmaceutical companies working in this domain.

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Valence Discovery Inc

Discipline:

Computer science

Sector:

Pharmaceuticals; Artificial Intelligence; Health and Related Sciences & Technology

University:

Université de Montréal

Program:

Accelerate

Augmentation de données et optimisation de l’espace latent d’un auto-encodeur variationnel (VAE) pour la détection de défauts et le pronostic des alternateurs hydrauliques

L’objectif du projet est d’automatiser la reconnaissance des signaux acoustiques et vibratoires d’une part, et des signaux de décharges partielles d’autres part, et ceci à l’aide d’un modèle d’apprentissage profond. Cette reconnaissance est la première étape du développement d’un modèle de pronostic et de suivi de l’évolution de la dégradation des alternateurs. Ces signaux sont issus de mesures effectuées périodiquement sur les alternateurs durant leur fonctionnement. Le traitement des signaux de décharges partielles ainsi que ceux acoustiques et vibratoires permettent de caractériser l’état de santé des alternateurs, comme les signaux électrocardiogrammes « ECG » pour l’état de santé d’un humain. L’orientation des travaux du projet sera vers des techniques d’apprentissage non supervisées. Le réseau de neurones auto-encodeur variationnel (VAE pour Variational Autoencoder) sera exploité pour son espace latent afin d’analyser et visualiser les caractéristiques extraites des signaux dans un espace latent à deux dimensions

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Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Utilities

University:

Université de Montréal

Program:

Accelerate

Évaluation de scénarios de gestion intégrée et soutenable de l’eau dans le complexe tourbeux de Lanoraie

Le complexe tourbeux de Lanoraie fait l’objet de conflits d’usage de l’eau depuis plusieurs années et l’évolution récente de la tourbière montre une transformation très marquée de la végétation depuis 70 ans. La hausse des pompages pour l’irrigation des cultures de pommes de terre, combinée à une succession d’étés secs, a exacerbé les conflits d’usage de l’eau. Le but de ce projet est d’obtenir des données nouvelles pour concilier à la fois les prélèvements en eau pour l’irrigation des cultures et le maintien des fonctions hydrologiques et écologiques du complexe tourbeux. Le projet fournira à l’UPA des données nouvelles sur l’eau souterraine et des scénarios alternatifs de gestion de l’eau qui lui permettront de mieux promouvoir les besoins en eau des agriculteurs, tout en faisant la promotion d’une gestion intégrée et soutenable de l’eau dans la région des tourbières de Lanoraie.

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Faculty Supervisor:

Marie Larocque;Chandra Madramootoo

Student:

Partner:

Fédération de l'UPA de Lanaudière

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

McGill University; Université du Québec à Montréal

Program:

Accelerate

360 Concussion Care Learning Health System: A Framework to Establish Large-Scale Comparative Effectiveness Research

This project will establish the framework to extract and transform clinical data into a research dataset to conduct world-leading Comparative Effectiveness Research (CER) around concussion. The research and analyses from this dataset will inform patient care for patients with concussion and answer key questions that have healthcare and policy implications for concussion management. The framework and research database will underpin 360 Concussion Care’s research program to evaluate assessment protocols, therapies, interventions, and best practices that will benefit patients, practitioners, and the Canadian healthcare system.

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Faculty Supervisor:

Roger Zemek

Student:

Partner:

360 Concussion Care

Discipline:

Life Sciences

Sector:

Education

University:

University of Ottawa

Program:

Accelerate

Modelling and analysis of heat pipes under various operating conditions encountered in mold cooling applications.

The proposed project aims to develop simple thermal resistance network models using experimental and CFD data to predict the performance of conventional circular sectioned heat pipes and thermosyphons. Heat pipes are a type of enhanced heat transfer device that uses a continuous cycle of boiling and condensing of a fluid to transfer heat at a very high rate. The industry partner designs and manufactures heat pipes that are used extensively in the cooling of molds for making automotive parts. This project will allow them to better understand the effects of geometrical, working fluid and operating parameters on the thermal performance of heat pipes and improve their design capabilities. These results can provide estimates of expected results to their potential customers.

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Faculty Supervisor:

Christopher DeGroot

Student:

Partner:

Acrolab

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

The University of Western Ontario

Program:

Accelerate

HUB Cycling Bike Friendly Building (BFB) Consulting Services –Marketing Research Plan

By having an intern do market research for this project on active transportation cycling in British Columbia, there are several objectives to be met. program to research this quickly evolving market niche, confirm HUB Cycling’s service offering, and develop a targeted marketing plan to draw in more and more diverse clients. This in-depth study will provide new business developmental strategies for the bike friendly building component of the construction industry. Further, this research will be beneficial for the government and private sector with particular focus on providing unique analyses and advice to support building developers and managers to create exceptional experiences for people travelling by bicycle.

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Faculty Supervisor:

David Kuch

Student:

Partner:

HUB Cycling

Discipline:

Business

Sector:

Other services (except public administration); Professional, scientific and technical services

University:

Capilano University

Program:

Accelerate

Earth X-ray for Low-Impact Mining

Meeting our national and global commitments to emission reductions requires the increasing utilization of clean technologies. The demand for the minerals needed in clean-tech (such as nickel, copper, zinc, and cobalt) is expected to grow by at least fivefold in the coming years. At the same time, the mineral resource industry needs to reduce its own environmental impact.
The time is therefore ripe for transformative innovation in the mining sector. The Earth X-ray project aims to develop a Discovery Platform that allows for investigating the mineral composition at depths of up to 1 km beneath the Earth surface. This unprecedented capability will be made possible by integrating the novel muon tomography technology from Ideon with a new-to-the-world gravimeter and advanced artificial intelligence from SFU. Combined, these technologies will provide the mining industry with a low-cost, minimally invasive technology for sustainable mineral exploration.

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Faculty Supervisor:

Glyn Williams-Jones;Behraad Bahreyni;Derek Bingham;Don Estep

Student:

Partner:

Ideon

Discipline:

Earth science

Sector:

Environmental Science and Technology; Natural Resources; Mining

University:

Simon Fraser University

Program:

Accelerate

ChainCert platform: Verification of authenticity of certificates by exploiting hybrid Blockchain technologies

Blockchain is a well-known immutable, transparent and anti-counterfeit platform. As such it can be appropriate for submitting certificates for validation and safe-keeping. However, because of its requirements for complex and heavy computations for enhanced security and verification of each submission in the network, in this project, we will first study both public and private Blockchain platforms in detail, in terms of costs, performance, security, throughput and vulnerability. Then we will design a cost-efficient hybrid Blockchain model for validation and authentication of certificates. The proposed method has a great impact to make sure that the paper-based certificates are authenticated and original.
This project has been suggested by the organization.

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Faculty Supervisor:

Marios-Eleftherios Fokaefs

Student:

Partner:

App-Scoop Solutions Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Polytechnique Montréal

Program:

Accelerate

Raffiner la compréhension des comportements consommateurs afin de contribuer à la robustesse des études en analyse du cycle de vie : le cas des briquets BIC

À ce jour, les modélisations d’impacts environnementaux du cycle de vie des briquets de poche démontrent que la phase de production des briquets de poche est celle qui a le plus d’impacts en raison des matières premières utilisées. D’autres paramètres peuvent également avoir une incidence importante sur les résultats, comme, le niveau de combustible encore disponible dans les briquets au moment où ils sont jetés, le choix de bac de gestion des matières résiduelles dans lequel le consommateur décide de placer le briquet, l’oubli dans les milieux naturels en fin de vie, etc. Une gestion plus efficace de la fin de vie de ces matériaux afin d’en faire le traitement et de les réintégrer à la production a le potentiel de réduire significativement les impacts potentiels par l’implantation de stratégies d’économie circulaire. Les modélisations d’impacts environnementaux se base généralement sur des scénarios hypothétiques pour modéliser le comportement d’usage et de gestion en fin de vie des produits. L’intégration de données recueillies directement auprès des utilisateurs permettra d’assurer une plus grande robustesse aux analyses d’impacts environnementaux des produits.

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Faculty Supervisor:

Cécile Bulle

Student:

Partner:

BIC Inc

Discipline:

Earth science

Sector:

Manufacturing

University:

Université du Québec à Montréal

Program:

Accelerate

Methods development and applications for neuromelanin-sensitive MRI

Dopamine and noradrenaline are neurotransmitters that are released from neurons located in the substantia nigra and locus coeruleus. Therefore, these brain structures have the unique property of containing high concentrations of neuromelanin, a dark pigment that can be visualized with specialized MRI sequences. The neuromelanin-sensitive MRI signal has been used to visualize degeneration of these neurons. Recent work has shown that this signal can also serve as a proxy measure for long-term imbalance in activity of these neurotransmitter systems. This line of work will investigate this novel measure as a potential biomarker in diverse populations including, PTSD, schizophrenia, Parkinson’s disease, Alzheimer’s disease, ADHD, and healthy children. The goal of this line of work is to develop and optimize the method and test it in expanded research and clinical applications.

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Faculty Supervisor:

Clifford Cassidy

Student:

Partner:

Terran Biosciences

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Ottawa

Program:

Accelerate

High-throughput cyclotron target manufacturing

Molecular imaging (MI) is a tool designed to help clinicians better understand disease, and potentiates effective clinical patient management through efficient diagnoses, patient stratification and monitoring of treatment response. As such, MI has a rapidly emerging role in the transition toward personalized medicine. One key enabler of MI are radioisotopes, many of which are produced using hospital-based particle accelerators, called cyclotrons. Cyclotron-based isotope production is rapidly increasing in importance as a number of new positron-emitting radiopharmaceuticals (pharmaceuticals labeled with radioisotopes) are coming to market. Gallium-68 (68Ga) is one emerging isotope that is experiencing rapid community adoption, particularly as a companion diagnostic in the realm of prostate and neuroendocrine tumor therapies. 68Ga-PSMA and 68Ga-DOTATATE are two examples which, to date, have relied on a clinical 68Ga supply enabled via the germanium-68 (68Ge)/68Ga generator. However, these generators are experiencing supply challenges, which when coupled to their limited isotope output, has several prominent radiopharmaceutical companies exploring novel methods for producing more isotope. ARTMS has developed a particle-accelerator (cyclotron) based solution that enables 100-fold higher 68Ga production by irradiating enriched zinc-68 (68Zn) with accelerated protons. A high-throughput method to manufacture 68Zn cyclotron targets is needed in order to meet looming demand.

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Faculty Supervisor:

Paul Schaffer

Student:

Partner:

ARTMS

Discipline:

Physics

Sector:

Manufacturing

University:

TRIUMF

Program:

Accelerate

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